@article{ccef1e54118a499c99bb43b2ea395d63,
title = "Colocated MIMO radar waveform optimization with receive beamforming",
abstract = "Transmit waveform diversity brings some advantages to colocated Multiple-Input Multiple-Output (MIMO) radars. Current waveform design techniques do not sufficiently exploit the degrees of freedom from the receive end. In this paper, we devise waveform optimization criteria with the receive end beamforming operation. With mutual correlation sidelobes suppressed at the receive end, some degrees of freedom can be released for a lower global sidelobe level. For transmit beampatterns with unequal gains, two Peak Sidelobe Level (PSL) measures are discussed, one for identical range compression PSL and the other for the same distance to the noise level. Numerical results are given for beampatterns with mono-peak, two peaks with equal gains and two peaks with unequal gains, all indicating that the criteria result in better sidelobe suppression.",
keywords = "Colocated MIMO radar, MIMO radar, Peak sidelobe level, Receive beamforming, Waveform design",
author = "Shenghua Zhou and Jing Lu and Varshney, {Pramod K.} and Jianlai Wang and Hui Ma and Hongwei Liu",
note = "Funding Information: This work is partially supported by the National Science Fund for Distinguished Young Scholars (No. 61525105), the Fund for Foreign Scholars in University Research and Teaching Programs (the 111 Project No. B18039), the Fundamental Research Funds for the Central Universities, the program for Cheung Kong Scholars and Innovative Research Team in university, Xidian University-Syracuse University Joint Center for Information Fusion, the Postdoctoral Innovation Talent Support Program, the National Natural Science Foundation of Shaanxi Province (No. 2019JQ-289), the New Teacher Innovation of Xidian University (No. XJS18002), and the National Natural Science Foundation of China (No. 61601340). Funding Information: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Shenghua Zhou received the B.Eng. and Ph.D. Degrees from Xidian University in 2005 and 2011, respectively. He is currently an associate professor in National Laboratory of Radar Signal Processing at Xidian University. His research interests include but are not limited to distributed detection, colocated MIMO radar and dual function radar. Jing Lu received the B.Sc. degree in engineering from Xidian University in 2018. He is currently pursuing the M.Sc. degree in signal processing with the National Laboratory of Radar Signal Processing, Xidian University. His research interests include statistical signal processing, multi-frame detection, and quantitative fusion detection. Pramod K. Varshney received the B.S. degree (Hons.) in electrical engineering and computer science and the M.S. and Ph.D. degrees in electrical engineering from the University of Illinois at Urbana-Champaign, IL, USA, in 1972, 1974, and 1976, respectively. Since 1976, he has been with Syracuse University, Syracuse, NY, USA, where he is currently a Distinguished Professor of electrical engineering and computer science and the Director of the Center for Advanced Systems and Engineering. He served as an Associate Chair for the Department from 1993 to 1996. He is also an Adjunct Professor of radiology with Upstate Medical University, Syracuse. He has authored a book Distributed Detection and Data Fusion. His current research interests are in distributed sensor networks and data fusion, detection and estimation theory, wireless communications, image processing, radar signal processing, and remote sensing. He was elected to the grade of fellow of the IEEE in 1997 for his contributions in the area of distributed detection and data fusion. He was the President of the International Society of Information Fusion in 2001. He is on the Editorial Board of the Journal on Advances in Information Fusion. Jianlai Wang received the Ph.D. degree from the Harbin Institute of Technology, Harbin, China, in 2011. He is currently a Senior Engineer with the China Academy of Launch Vehicle Technology, Beijing, China. His research interests include radar automatic target detection and signal processing. Hui Ma was born in Hebei, China, in 1989. She received the B.Sc. degrees in electronic and information engineering, in 2009, and the Ph.D. degree in electromagnetics and microwave technology from Beihang University, Beijing, China, in 2015. In 2012, she was a visiting Ph.D. student with the University of Birmingham, Birmingham, U.K., where she continued as a Research Fellow, since 2015, under the grants funded by the European Space Agency. She is currently a Lecturer with the National Laboratory of Radar Signal Processing, Xidian University, Xi'an, China. Her research interests include multi-static radar, passive radar, radar imaging, and signal processing. Hongwei Liu received the B.Eng. degree in electronic engineering from the Dalian University of Technology, in 1992, and the M.Eng. and Ph.D. degrees in electronic engineering from Xidian University, Xi'an, China, in 1995 and 1999, respectively, where he is currently the Director and a Professor with the National Laboratory of Radar Signal Processing. His research interests include radar automatic target recognition, radar signal processing, and adaptive signal processing. Publisher Copyright: {\textcopyright} 2019 Elsevier Inc.",
year = "2020",
month = mar,
doi = "10.1016/j.dsp.2019.102635",
language = "English (US)",
volume = "98",
journal = "Digital Signal Processing: A Review Journal",
issn = "1051-2004",
publisher = "Elsevier",
}